دورية أكاديمية
Post-Acne Hyperpigmentation: Evaluation of risk factors and the use of Artificial Neural Network as a predictive classifier
| العنوان: | Post-Acne Hyperpigmentation: Evaluation of risk factors and the use of Artificial Neural Network as a predictive classifier |
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| المؤلفون: | Firas Al-Qarqaz, Khaldon Bodoor, Ala Baba, Ali Al-Yousef, Jihan Muhaidat, Diala Alshiyab |
| المصدر: | Dermatology Reports (2021) |
| بيانات النشر: | PAGEPress Publications, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Dermatology |
| مصطلحات موضوعية: | Acne, post-acne hyperpigmentation, artificial neural network, Dermatology, RL1-803 |
| الوصف: | Background: Acne is common among young individuals. People with dark skin have a higher risk for developing pigmentary complications. Inflammation is an important factor in post-acne hyperpigmentation however other factors are also involved in developing this complication however these factors are not well studied. Objective: The aim of this study is to identify risk factors involved in post-acne hyperpigmentation. Materials and Methods: Clinical data related to acne, acne- related hyperpigmentation were collected. Data was analyzed for risk factors associated with acne pigmentation. Artificial neural network was used as predictive disease classifier for the outcome of pigmentation. Results: Majority of patients in this study (339 patients) had dark skin phototypes (3 and 4). Post- acne hyperpigmentation was seen in more than 80% of patients. Females, darker skin color, severe acne, facial sites, and excessive sunlight exposure, squeezing or scratching lesions are important risk factors for post-acne hyperpigmentation. Conclusion: Post-acne hyperpigmentation is multifactorial. Several factors implicated in PAH are modifiable by adequate patient education (lesion trauma, excessive sunlight exposure). The use of ANN was helpful in predicting appearance of post-acne hyperpigmentation based on identified risk factors. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2036-7392 2036-7406 91661242 |
| العلاقة: | https://pagepress.org/journals/index.php/dr/article/view/8223Test; https://doaj.org/toc/2036-7392Test; https://doaj.org/toc/2036-7406Test |
| DOI: | 10.4081/dr.2021.8223 |
| الوصول الحر: | https://doaj.org/article/8d2d2c9166124239ae06eb61bd529787Test |
| رقم الانضمام: | edsdoj.8d2d2c9166124239ae06eb61bd529787 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20367392 20367406 91661242 |
|---|---|
| DOI: | 10.4081/dr.2021.8223 |